GPU Acceleration

3 papers

High-performance parallel training on GPUs and specialized hardware.

Papers

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MemoryWAM: Efficient World Action Modeling with Persistent Memory

MemoryWAM: Efficient World Action Modeling with Persistent Memory

Sizhe Yang, Juncheng Mu, Tianming Wei et al. · arXiv preprint · Jun 2026

Robust robotic manipulation in the real world requires not only an understanding of the current observation, but also memory and dynamics modeling. World action models (WAMs) posse...

ar-vr gpu-acceleration manipulation
PDF Intermediate
No code repo Jun 2026
MemoryWAM: Efficient World Action Modeling with Persistent Memory

MemoryWAM: Efficient World Action Modeling with Persistent Memory

Sizhe Yang, Juncheng Mu, Tianming Wei et al. · arXiv preprint · Jun 2026

Robust robotic manipulation in the real world requires not only an understanding of the current observation, but also memory and dynamics modeling. World action models (WAMs) posse...

ar-vr gpu-acceleration manipulation
PDF Intermediate
No code repo Jun 2026
Isaac Gym: High Performance GPU-Based Physics Simulation for Robot Learning

Isaac Gym: High Performance GPU-Based Physics Simulation for Robot Learning

Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo et al. · NeurIPS 2021 Datasets and Benchmarks Track · Dec 2021

A GPU-accelerated physics simulation framework that enables thousands of RL environments to run in parallel on a single GPU, eliminating CPU-GPU transfer bottlenecks.

simulation rl gpu-acceleration parallel-training
Code PDF Intermediate
GitHub ★ 2,934 Code updated: May 2026

Suggested Learning Path

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    Isaac Gym: High Performance GPU-Based Physics Simulation for Robot Learning

    Viktor Makoviychuk, Lukasz Wawrzyniak et al. · 2021